Custom AI-Accelerated Silicon,
Engineered for Your Workloads
Hardware–algorithm co-design delivering domain-specific, hardware-accelerated chips built for precision, speed, and your unique computational requirements.
About IntelliEdge Silicon
We build domain-specific AI-accelerated chips through rigorous hardware–algorithm co-design. Every chip is engineered from first principles to solve your specific computational challenges.
Mohamed Salah
Senior engineering researcher specializing in advanced silicon architecture and AI acceleration frameworks. Focused on pushing the boundaries of domain-specific chip design through innovative hardware-software integration and rigorous performance optimization methodologies.
Mahmoud Ezzat
Senior engineering researcher with deep expertise in computational algorithms and hardware co-design. Specializes in developing cutting-edge optimization techniques for custom silicon solutions, bridging theoretical computer architecture with practical, high-performance implementations.
Omar Khaled
Software engineer with expertise in backend systems and low-level software development. Passionate about open-source technologies and community-driven innovation, specializing in building robust infrastructure and optimizing system-level performance for next-generation computing platforms.
Applications & Use Cases
Proven solutions across industries and computational domains.
Edge AI
Inference acceleration at the edge with minimal latency and power consumption.
Robotics
Real-time perception and control systems for autonomous robotic platforms.
Autonomous Systems
Low-latency decision-making for autonomous vehicles and UAVs.
Datacenter Acceleration
High-throughput AI model serving and training optimization.
Schedule a Technical Consultation
Let's discuss your chip design requirements and engineering goals.
Get in Touch
Have questions about custom chip design? Reach out to our team.